The smart manufacturing industry (Industry 4.0) uses the Internet of Things (IoT) devices
referred to as Industrial IoT (IIoT) to automate the industrial environment. These IIoT devices …

IPv6 over low-power wireless personal area network (6LoWPAN) has been widely used for
large-scale sensing and actuating purposes in the Internet of Things (IoT). Though …

The literature on quality management system (QMS) assumes that product and process
performance data are authentic and easily accessible. This assumption, while ideologically …

The large scale increase of communication and number of devices in the Industrial Internet
of Things (IIoT) has rapidly enabled practitioners to make decisions based on multicriteria …

The integration of Artificial Intelligence (AI) models in Industrial Internet of Things (IIoT)
systems has emerged as a pivotal area of research, offering unprecedented opportunities for …

Numerous Internet of Things (IoT) systems produce massive volumes of information that
must be handled and answered in a quite short period. The growing energy usage related to …

Big data is a challenging issue as its volume, shape, and size need to be modified in order
to extract important information for a specific purpose. The amount of data is rising with the …

Ensuring consistent high water quality is paramount in water management planning. This
paper addresses this objective by proposing an intelligent edge-cloud framework for water …

The rapid advancement of the Internet of Things (IoT) in real-world applications has attracted
immense research endeavors in the last few years. It has got tremendous potential in …

This study proposes a task-offloading and resource allocation strategy in multidomain
cooperation (TARMC) for the industrial Internet of Things (IIoT) to resolve the problem of the …